carolinlawrence

bert

TensorFlow code and pre-trained models for BERT

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

shap

A game theoretic approach to explain the output of any machine learning model.

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

allennlp

An open-source NLP research library, built on PyTorch.

ParlAI

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

trax

Trax — Deep Learning with Clear Code and Speed

OpenNMT-py

Open Source Neural Machine Translation and (Large) Language Models in PyTorch

xlnet

XLNet: Generalized Autoregressive Pretraining for Language Understanding

DrQA

Reading Wikipedia to Answer Open-Domain Questions

transformer-xl

awesome-machine-learning-interpretability

A curated list of awesome responsible machine learning resources.

XLM

PyTorch original implementation of Cross-lingual Language Model Pretraining.

finetune-transformer-lm

Code and model for the paper "Improving Language Understanding by Generative Pre-Training"

FARM

:house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.

pytorch-openai-transformer-lm

🐥A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI

conversational-datasets

Large datasets for conversational AI

rouge

A full Python Implementation of the ROUGE Metric (not a wrapper)

sparse_learning

Sparse learning library and sparse momentum resources.

calibration-framework

The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a neural network.

VITutorial

This repository stores slides for a tutorial on variational inference for NLP audiences.

MLQA

New dataset

timeseries_fastai

fastai V2 implementation of Timeseries classification papers.

neural_chat

Code to support training, evaluating and interacting neural network dialog models, and training them with reinforcement learning. Code to deploy a web server which hosts the models live online is available at: https://github.com/asmadotgh/neural_chat_web

sparsemax-pytorch

Implementation of Sparsemax activation in Pytorch

nl2sql

Learning a Neural Semantic Parser with User Feedback

DiversityNet

A molecule generation benchmarking platform

bandit-joeynmt

Minimalist NMT for educational purposes, includes self-regulation implementation from ACL'18 (branch acl18)

CLKP-MTKBC

Cross-lingual Knowledge Projection Using Machine Translation and Target-side Knowledge Base Completion

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)